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Breast sample biopsies without microcalcifications were used as controls.
Fig. 1c shows four more characteristic examples, along with normal breast sample.
For each breast sample, six histological sections were selected at random.
Breast sample biopsies with microcalcifications underwent energy dispersive X-ray microanalysis to better define the elemental composition of the microcalcifications.
Thus, the result for each chicken breast sample is the mean of four subsamples (or three in the case of an excluded outlier).
Normal breast parenchyma occupied from 5%15%15% of the normal breast sample with the bulk of the tissue composed of fibrous tissue and fat.
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In addition, 24 normal breast samples were used for comparison.
Twenty-four cases of normal breast samples derived from reduction mammoplasties or adjacent to tumour tissue were included in this study.
MCCS shall be useful for next step tests with real in-vitro breast samples.
But what about mix-ups that are not so obvious — two lung tissue samples that are switched, or two breast samples?
For statistical comparison of gene expression profiles between normal breast samples and breast tumour samples of different stages, grades and ER status, the LIMMA (Linear Models for Microarray Data) algorithm was used to calculate fold change (Log2R), B-statistics (lods), t-statistics and p-values.
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